Description Usage Arguments Details Value Author(s) References Examples
Fitting PPCCA model
1 | ppcca(Y, Yc, tYc, X, S, sumdiS, muhat, tp, tmp, minq = 2, maxq = 3, eps = 0.8, n.cores)
|
Y |
Expression data |
Yc |
Centered and scaled data |
tYc |
Transposed centered and scaled data |
X |
Covariates |
S |
Sample covariance |
sumdiS |
Sum of the diagonal elements of sample covariance |
muhat |
Average expression of all features |
tp |
Number of dimensions from eigen |
tmp |
Eigen decomposion |
minq |
Minimum number of PCs considered |
maxq |
Maximum number of PCs considered |
eps |
Smallest value for convergence assessment |
n.cores |
Number of cores |
Fitting PPCCA model
Fitting PPCCA model
Nyamundanda, G., Poudel, P., Patil, Y. and Sadanandam, A.
Nyamundanda, G., Poudel, P., Patil, Y. and Sadanandam, A., 2017. A novel and robust statistical method to diagnose and correct batch effects in genomic data.
1 2 3 | ##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
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